It provides the measurement data of each portion of the target object with a high accuracy. The measurement data calculation apparatus 1020 includes an obtaining unit 1024A, an extraction unit 1024B, a conversion unit 1024C, and a calculation unit 1024D. The obtaining unit 1024A obtains the image data in which the target object is photographed and the full length data of the target object. The extraction unit 1024B extracts the shape data indicating the shape of the target object from the image data. The conversion unit 1024C converts and silhouettes the shape data based on the full length data. The calculation unit 1024D uses the shape data converted by the conversion unit 1024C to calculate the measurement data of each portion of the target object.
Legal claims defining the scope of protection, as filed with the USPTO.
3. The apparatus according to claim 1, wherein the extraction unit is configured to use an algorithm of semantic segmentation built with teacher data prepared for each type of a target object to extract a target object area included in the image data, so as to extract shape data of the target object.
4. The apparatus according to claim 1, wherein the target object is a person.
5. The apparatus according to claim 1, wherein the image data includes a depth map, and shape data extracted by the extraction unit is associated with depth data of the target object in the depth map.
7. The apparatus according to claim 6, wherein the conversion unit is configured to convert the shape data into new shape data based on the full length data and depth data of the target object area.
8. The apparatus according to claim 1, which is configured to use measurement data calculated by the calculation unit to manufacture a product related to a shape of the target object.
10. The method according to claim 9, wherein the extracting includes using an algorithm of semantic segmentation built with teacher data prepared for each type of a target object to extract a target object area included in the image data, so as to extract shape data of the target object.
11. The method according to claim 9, wherein the target object is a person.
12. The method according to claim 9, wherein the image data includes a depth map, and shape data extracted in the extracting is associated with depth data of the target object in the depth map.
13. The method according to claim 12, wherein the extracting includes extracting a target object area of the target object from the image data based on the depth map, wherein in the target object area the shape data is associated with depth data of the target object.
14. The method according to claim 13, wherein the converting includes converting the shape data into new shape data based on the full length data and depth data of the target object area.
15. The method according to claim 9, comprising using measurement data calculated in the calculating to manufacture a product related to a shape of the target object.
16. The apparatus according to claim 2, wherein the extraction unit is configured to use an algorithm of semantic segmentation built with teacher data prepared for each type of a target object to extract a target object area included in the image data, so as to extract shape data of the target object.
17. The apparatus according to claim 2, wherein the target object is a person.
18. The apparatus according to claim 2, wherein the image data includes a depth map, and shape data extracted by the extraction unit is associated with depth data of the target object in the depth map.
19. The apparatus according to claim 2, which is configured to use measurement data calculated by the calculation unit to manufacture a product related to a shape of the target object.
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May 27, 2021
March 5, 2024
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